In the past month, the internet has exploded with information about coronavirus and the disease it causes, COVID-19. The vast amount of data feels like too much to keep up with. But that’s where graph and data visualization thrives! So, we used the power of Tom Sawyer Perspectives to visualize the continually updated genomic epidemiology data provided by Nextstrain to reveal previously unseen coronavirus mutations.
You gather your data, choose the best layout, and find an analysis method that gets your users the insight they need. But before you can declare victory, you need to assign meaning to the objects in your graph. Adding labels to nodes and edges might seem easy enough, but sometimes—especially with graph edge labels—their placement can cause readability issues. Since a “messy” presentation can compromise the message and meaning of your graph visualization, you’ll want to do all you can to prevent these.
At AWS re:Invent, we revealed our partnership with Amazon Web Services (AWS) that supports the integration of Tom Sawyer Graph Database Browser and Tom Sawyer Perspectives with Amazon Neptune. Customers can take advantage of the integration and build applications with Perspectives for Amazon’s newest cloud-based graph database service, Neptune.
Amazon Neptune is a fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. Our flagship product, Tom Sawyer Perspectives, is designed specifically for building and deploying web applications that visualize and analyze highly related datasets. The two products are tightly integrated.
Tom Sawyer Graph Database Browser makes it easy for anyone to load data into Amazon Neptune and start analyzing the graphs. The application is the first and only to visualize and analyze data in Amazon Neptune as well as automatically execute native Neptune load commands to import data directly from Amazon Simple Storage Service (S3) into the database.
Together with AWS Amazon Neptune, our deep integration creates a super convenient and easy-to-use cloud-based, fast, and scalable graph database and visualization solution.
Want to try visualizing AWS Amazon Neptune Data?
It’s easy to test drive the Tom Sawyer Graph Database Browser using a free trial on AWS Marketplace. It works with other graph databases too.
The Graph Database Browser includes a number of unique capabilities that go beyond a typical database browser to enhance the AWS Amazon Neptune user experience. Below are just a few.
I recently learned about Dr. Ioannis Tollis’ impressive career in graph analytics and computer science. He is a pioneer in graph analytics technology, and a Professor at the University of Crete. Dr. Tollis, Ph.D., spoke with us about exciting developments and trends in the field. Read on to find out more.
You’ve been a leader in the global graph analytics technology community since before it hit the mainstream. What are some of the trends you’ve noticed over time?
There are many trends in graph analytics technology that appeared in the past. Some have disappeared, while others are still with us today.
The most recent graph analytics technology trend deals with large or huge graphs. Read More “Pioneer in Graph Analytics Technology Talks about Trends and Why Graphs Are Going Mainstream”
We are excited to announce that you can now download the Beta release of Tom Sawyer Perspectives, Version 8.0, Java Edition.
This version represents a strategic upgrade to our core graph and data visualization architecture and adds new enterprise solutions for systems engineers and architects, and business process analysts and users. With an underlying Spring architecture, this version lays the foundation for further innovation and enterprise-wide deployment.
The Beta release is your chance for early access to powerful new capabilities and solutions, and to influence the future direction of Tom Sawyer Perspectives.
Our team members across three continents have invested more than 50,000 hours designing, developing, and testing to bring this new version to you.